Shogun

Prospect - Card Dealers - 10-15 (0.400)
25 OVR
overall rating (0–100) · 25 games · how is this calculated?
Overall rating 25/100 Tier dominance: 64th (+0.4 SD) Projects as: Prospect Role: Striker
How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

MVPs
5
20% of games
Shot %
33%

Per-game production (percentile within Prospect)

StatPer gameTotalPercentile in tier
Points 345.28 8632
61st
Goals 0.84 21
63rd
Assists 0.44 11
32nd
Saves 1.28 32
58th
Shots 2.56 64
56th
Demos 0.92 23
52nd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Prospect
Points345.28 #457 / 1215 #52 / 161
Goals0.84 #329 / 1215 #49 / 161
Assists0.44 #663 / 1215 #90 / 161
Saves1.28 #491 / 1215 #56 / 161
Demos0.92 #494 / 1215 #63 / 161

Season projection

Medium confidence

60% of the season is played (25 → ~42 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (136 games across 4 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat Now Pace Projected (season) Projected (all data) 80% range
Points 8632 14502 14441 14441 14321 – 14561
Goals 21 35 35 34 29 – 41
Assists 11 18 19 19 14 – 23
Saves 32 54 53 54 46 – 61
Shots 64 108 107 107 96 – 117
Demos 23 39 39 39 32 – 45
MVPs 5 8 8 8 5 – 11

Advanced stats (ballchasing)

Advanced OVR 70 /100

From 22 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min 369.2
Avg boost 57.7
Boost stolen / game 644.0
% time at 0 boost 8.2%
Avg speed (uu/s) 1442.4
% supersonic 11.0%
% time high in air 2.9%
Avg distance to ball 3238.6
% time attacking third 22.1%
Demos / game 0.9
Demos taken / game 0.9
Shooting % 35.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger4 0.250.251.75 307
S21Challenger2 0.00.00.5 342
S22Prospect16 0.810.441.38 343
S23Challenger26 0.460.621.15 344
S24Challenger57 0.840.41.1 338
S25Challenger37 0.570.571.49 365
S26Prospect22 0.910.51.27 369

Beyond RSC - lifetime & other play

External skill estimate: ~39 OVR High confidence — inferred from 1262 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 25.
SourceGames RecordWin % Score/g
Lifetime (all)62742522-2403 51% 336
RSC (official)3012-10 55% 319
Non-RSC ranked 3v31262481-503 49% 288
Non-RSC other49822029-1890 52% 348

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

Historical analysis - data: Official · All seasons (change in the nav)

Comparable-based outlook

High confidence

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

StatThis seasonComparables medianTypical range
Goals/game0.91 0.91 0.86 – 0.95
Assists/game0.5 0.53 0.48 – 0.58
Saves/game1.27 1.27 1.17 – 1.38
Shots/game2.77 2.75 2.69 – 2.91

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
Dondo RF S22Challenger 0.910.51.15 0.74
ChefHoffy S25Rival 0.830.581.19 0.75
ACDye2 S22Challenger 0.960.51.23 0.88
C01E01 S24Elite 1.020.581.44 0.90
Frog_Boot S22Veteran 0.950.611.27 0.91
mr_marino_ S21Rival 1.080.521.4 0.94
TMonz14 S13Rival 0.920.51.25 0.94
steel.reserve S22Veteran 0.860.591.37 0.95
Shogun S22Prospect 0.810.441.38 0.95
RyanAwesome_ S21Veteran 0.940.441.44 0.97

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.


Data source: live (rscna.com) - standings & schedule refresh hourly.